A Conjugate Gradient Method with Global Convergence for Large-Scale Unconstrained Optimization Problems.
Shengwei YaoXiwen LuZengxin WeiPublished in: J. Appl. Math. (2013)
Keyphrases
- global convergence
- constrained optimization problems
- conjugate gradient method
- convergence rate
- global optimum
- optimization methods
- conjugate gradient
- convergence analysis
- convergence speed
- objective function
- constrained optimization
- optimization method
- particle swarm
- optimality conditions
- optimization problems
- fitness function
- training data
- computational intelligence
- support vector
- search algorithm
- step size
- machine learning
- artificial neural networks